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s stated in the last chapter, one of the key challenges in developing multiuser, databasedriven applications is to maximize concurrent access but, at the same time, ensure that each user is able to read and modify the data in a consistent fashion. In this chapter, we re going to take a detailed look at how Oracle achieves multi-version read consistency, and what that means to you, the developer. I will also introduce a new term, write consistency, and use it to describe how Oracle works not only in a read environment with read consistency, but also in a mixed read and write environment.

It is true that the Nullable(Of T) type can be applied to a DateTime value like this: Nullable(Of DateTime). This allows a date to be empty in a limited sense. Unfortunately, that isn t enough for many applications, since an actual date value can t be meaningfully compared to Nothing. Is Nothing greater than or less than a given date With Nullable(Of T), the answer is an exception; which is not a very useful answer. Additionally, data binding doesn t deal well with Nothing values, and so exposing a Nothing value from a business object s property often complicates the UI code.

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Listing 6-2 shows a TCP/IP client for the .NET Micro Framework, and Listing 6-3 shows a server implementation. After a connection is established, the client sends a message to the server. The server waits until a response is available and then reads it. Listing 6-2. A TCP/IP Client using using using using using using System; Microsoft.SPOT; System.Net; System.Net.Sockets; System.Text; System.Threading;

Concurrency controls are the collection of functions that the database provides to allow many people to access and modify data simultaneously. As noted in the previous chapter, the lock is one of the core mechanisms by which Oracle regulates concurrent access to shared database resources and prevents interference between concurrent database transactions. To briefly summarize, Oracle uses a variety of locks, including the following: TX locks: These locks are acquired for the duration of a data-modifying transaction. TM and DDL locks: These locks ensure that the structure of an object is not altered while you are modifying its contents (TM lock) or the object itself (DDL lock). Latches: These are internal locks that Oracle employs to mediate access to its shared data structures. In each case, there is minimal overhead associated with lock acquisition. TX transaction locks are extremely scalable in terms of both performance and cardinality. TM and DDL locks are applied in the least restrictive mode whenever possible. Latches and enqueues are both very lightweight and fast (enqueues are the slightly heavier of the two, though they re more feature-rich). Problems only arise from poorly designed applications that hold locks for longer than necessary and cause blocking in the database. If you design your code well, Oracle s locking mechanisms will allow for scaleable, highly concurrent applications. But Oracle s support for concurrency goes beyond efficient locking. It implements a multi-versioning architecture (introduced in 1) that provides controlled, yet highly concurrent access to data. Multi-versioning describes Oracle s ability to simultaneously

The Csla.SmartDate type is designed to augment the standard .NET DateTime type to make it easier to work with date values. In particular, it provides the following key features: Automatic translation between String and DateTime types Translation of shortcut values to valid dates Understanding of the concept of an empty date Meaningful comparison between a date and an empty date Backward compatibility with SmartDate from the previous edition of this book The DateTime data type is marked NotInheritable, meaning that a new type can t inherit from it to create a different data type. However, it is possible to use containment and delegation to wrap a DateTime value with extra functionality. That s exactly how the SmartDate type is implemented. Like DateTime itself, SmartDate is a value type: <Serializable()> _ Public Structure SmartDate Implements IComparable Private Private Private Private mDate As Date mEmptyIsMax As Boolean mFormat As String mInitialized As Boolean

materialize multiple versions of the data and is the mechanism by which Oracle provides read-consistent views of data (i.e., consistent results with respect to a point in time). A rather pleasant side effect of multi-versioning is that a reader of data will never be blocked by a writer of data. In other words, writes do not block reads. This is one of the fundamental differences between Oracle and other databases. A query that only reads information in Oracle will never be blocked, it will never deadlock with another session, and it will never get an answer that didn t exist in the database.

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